knitr::opts_chunk$set(warning = TRUE, message = TRUE, echo = FALSE, error = FALSE)
pander::panderOptions("table.split.table", Inf)
library(codebook)
data("bfi", package = 'codebook')
bfi2 = zap_attributes(bfi)
bfi2[,1:5] <- bfi[,1:5]
bfi <- bfi2
bfi$age <- 1:nrow(bfi)
bfi$abode <- rep("my happy place", times = nrow(bfi))
latent <- rnorm(nrow(bfi))
bfi$normal1 <- latent + rnorm(nrow(bfi))
bfi$normal2 <- latent + rnorm(nrow(bfi))
bfi$normal3 <- latent + rnorm(nrow(bfi))
bfi$normal4 <- latent + rnorm(nrow(bfi))
bfi$normal <- bfi %>% dplyr::select(dplyr::starts_with("normal")) %>% rowMeans()

var_label(bfi$abode) <- "Where do you live?"
bfi$uniq_id <- as.character(1:nrow(bfi))
var_label(bfi$uniq_id) <- "Unique ID"

ggplot2::theme_set(ggplot2::theme_bw())
pander::panderOptions("table.split.table", Inf)
bfi$age <- rpois(nrow(bfi), 30)
# class(bfi$age) = c("udhfibr")
bfi <- detect_scales(bfi)
#> 4 BFIK_open items connected to scale
#> 4 BFIK_agree items connected to scale
#> 4 BFIK_extra items connected to scale
#> 3 BFIK_neuro items connected to scale
#> 4 BFIK_consc items connected to scale
#> 4 normal items connected to scale

#> Warning in doTryCatch(return(expr), name, parentenv, handler): Reliability CIs
#> could not be computed for BFIK_open
#> Warning in doTryCatch(return(expr), name, parentenv, handler): missing value
#> where TRUE/FALSE needed
#> Warning in value[[3L]](cond): Reliability could not be computed for BFIK_open
#> Warning in value[[3L]](cond): missing value where TRUE/FALSE needed

Metadata

Description

Dataset name: bfi

The dataset has N=28 rows and 37 columns. 0 rows have no missing values on any column.

Metadata for search engines

Date published: 2019-12-29
- keywords: session, created, modified, ended, expired, BFIK_open_2, BFIK_agree_4R, BFIK_extra_2, BFIK_agree_1R, BFIK_open_1, BFIK_neuro_2R, BFIK_consc_3, BFIK_consc_4, BFIK_consc_2R, BFIK_agree_3R, BFIK_extra_3R, BFIK_neuro_3, BFIK_neuro_4, BFIK_agree_2, BFIK_consc_1, BFIK_open_4, BFIK_extra_4, BFIK_extra_1R, BFIK_open_3, BFIK_agree, BFIK_open, BFIK_consc, BFIK_extra, BFIK_neuro, age, abode, normal1, normal2, normal3, normal4, normal and uniq_id

Survey overview

28 completed rows, 28 who entered any information, 0 only viewed the first page. There are 0 expired rows (people who did not finish filling out in the requested time frame). In total, there are 28 rows including unfinished and expired rows.

There were 28 unique participants, of which 28 finished filling out at least one survey.

This survey was not repeated.

The first session started on 2016-07-08 09:54:16, the last session on 2016-11-02 21:19:50.

#> `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

People took on average 127.36 minutes (median 1.48) to answer the survey.

#> Warning: Durations below 0 detected.
#> Warning: Removed 4 rows containing non-finite values (stat_bin).
#> Warning: Removed 2 rows containing missing values (geom_bar).

Variables

Scale: BFIK_agree

Overview

Reliability: ω_ordinal [95% CI] = 0.61 [0.37;0.84].

Missing: 0.

Reliability details

Reliability Indices

Index	Estimate
Omega	0.8193
Omega Psych Tot	0.8878
Omega Psych H	0.7664
Omega Ordinal	0.605
Cronbach Alpha	0.8006
Greatest Lower Bound	0.8858
Alpha Ordinal	0.5879

Positive correlations: 6 out of 6 (100%)

Scatter matrix

Detailed output

#> 
#> Information about this analysis:
#> 
#>                  Dataframe: res$dat
#>                      Items: BFIK_agree_4R, BFIK_agree_1R, BFIK_agree_3R, BFIK_agree_2
#>               Observations: 28
#>      Positive correlations: 6 out of 6 (100%)
#> 
#> Estimates assuming interval level:
#> 
#>              Omega (total): 0.82
#>       Omega (hierarchical): 0.77
#>    Revelle's omega (total): 0.89
#> Greatest Lower Bound (GLB): 0.89
#>              Coefficient H: 0.88
#>           Cronbach's alpha: 0.8
#> Confidence intervals:
#>              Omega (total): [0.71, 0.93]
#>           Cronbach's alpha: [0.68, 0.92]
#> 
#> Estimates assuming ordinal level:
#> 
#>      Ordinal Omega (total): 0.61
#>  Ordinal Omega (hierarch.): 0.59
#>   Ordinal Cronbach's alpha: 0.59
#> Confidence intervals:
#>      Ordinal Omega (total): [0.37, 0.84]
#>   Ordinal Cronbach's alpha: [0.33, 0.84]
#> 
#> Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help ('?scaleStructure') for more information.
#> 
#> Eigen values: 2.539, 0.732, 0.54, 0.189
#> Loadings:
#>               PC1  
#> BFIK_agree_4R 0.871
#> BFIK_agree_1R 0.748
#> BFIK_agree_3R 0.880
#> BFIK_agree_2  0.668
#> 
#>                  PC1
#> SS loadings    2.539
#> Proportion Var 0.635
#> 
#>               vars  n mean   sd median trimmed  mad min max range  skew
#> BFIK_agree_4R    1 28 2.93 1.18      3    2.92 1.48   1   5     4  0.26
#> BFIK_agree_1R    2 28 3.00 0.94      3    2.96 1.48   2   5     3  0.26
#> BFIK_agree_3R    3 28 3.04 1.29      3    3.04 1.48   1   5     4  0.04
#> BFIK_agree_2     4 28 3.50 1.26      4    3.58 1.48   1   5     4 -0.43
#>               kurtosis   se
#> BFIK_agree_4R    -1.18 0.22
#> BFIK_agree_1R    -1.37 0.18
#> BFIK_agree_3R    -1.35 0.24
#> BFIK_agree_2     -1.03 0.24

Summary statistics

name	data_type	complete_rate	min	median	max	mean	sd	hist
BFIK_agree_4R	numeric	1	1	3	5	2.928571	1.184110	▂▇▃▅▂
BFIK_agree_1R	numeric	1	2	3	5	3.000000	0.942809	▇▅▁▆▁
BFIK_agree_3R	numeric	1	1	3	5	3.035714	1.290482	▂▇▃▇▃
BFIK_agree_2	numeric	1	1	4	5	3.500000	1.261980	▂▅▅▇▆

Scale: BFIK_open

Overview

Reliability: Not computed.

Missing: 0.

Reliability details

Summary statistics

name	data_type	complete_rate	min	median	max	mean	sd	hist
BFIK_open_2	numeric	1	2	4.0	5	4.214286	0.7382232	▁▁▁▇▅
BFIK_open_1	numeric	1	2	5.0	5	4.392857	0.8317445	▁▂▁▃▇
BFIK_open_4	numeric	1	1	4.0	5	4.214286	0.9567361	▁▁▂▆▇
BFIK_open_3	numeric	1	2	4.5	5	4.214286	0.9567361	▁▂▁▅▇

Scale: BFIK_consc

Overview

Reliability: ω_ordinal [95% CI] = 0.61 [0.38;0.84].

Missing: 0.

Reliability details

Reliability Indices

Index	Estimate
Omega	0.812
Omega Psych Tot	0.3688
Omega Psych H	0.2444
Omega Ordinal	0.6077
Cronbach Alpha	0.7797
Greatest Lower Bound	0.9018
Alpha Ordinal	0.5935

Positive correlations: 6 out of 6 (100%)

Scatter matrix

Detailed output

#> 
#> Information about this analysis:
#> 
#>                  Dataframe: res$dat
#>                      Items: BFIK_consc_3, BFIK_consc_4, BFIK_consc_2R, BFIK_consc_1
#>               Observations: 28
#>      Positive correlations: 6 out of 6 (100%)
#> 
#> Estimates assuming interval level:
#> 
#>              Omega (total): 0.81
#>       Omega (hierarchical): 0.24
#>    Revelle's omega (total): 0.37
#> Greatest Lower Bound (GLB): 0.9
#>              Coefficient H: 1
#>           Cronbach's alpha: 0.78
#> Confidence intervals:
#>              Omega (total): [0.7, 0.92]
#>           Cronbach's alpha: [0.65, 0.91]
#> 
#> Estimates assuming ordinal level:
#> 
#>      Ordinal Omega (total): 0.61
#>  Ordinal Omega (hierarch.): 0.59
#>   Ordinal Cronbach's alpha: 0.59
#> Confidence intervals:
#>      Ordinal Omega (total): [0.38, 0.84]
#>   Ordinal Cronbach's alpha: [0.34, 0.84]
#> 
#> Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help ('?scaleStructure') for more information.
#> 
#> Eigen values: 2.473, 0.777, 0.539, 0.211
#> Loadings:
#>               PC1  
#> BFIK_consc_3  0.926
#> BFIK_consc_4  0.738
#> BFIK_consc_2R 0.800
#> BFIK_consc_1  0.657
#> 
#>                  PC1
#> SS loadings    2.473
#> Proportion Var 0.618
#> 
#>               vars  n mean   sd median trimmed  mad min max range  skew
#> BFIK_consc_3     1 28 3.50 1.04      4    3.54 1.48   1   5     4 -0.48
#> BFIK_consc_4     2 28 3.86 0.76      4    3.88 0.00   2   5     3 -0.27
#> BFIK_consc_2R    3 28 3.18 1.31      4    3.21 1.48   1   5     4 -0.51
#> BFIK_consc_1     4 28 4.07 0.90      4    4.17 1.48   2   5     3 -0.72
#>               kurtosis   se
#> BFIK_consc_3     -0.50 0.20
#> BFIK_consc_4     -0.35 0.14
#> BFIK_consc_2R    -1.08 0.25
#> BFIK_consc_1     -0.30 0.17

Summary statistics

name	data_type	complete_rate	min	median	max	mean	sd	hist
BFIK_consc_3	numeric	1	1	4	5	3.500000	1.0363755	▁▂▅▇▂
BFIK_consc_4	numeric	1	2	4	5	3.857143	0.7559289	▁▃▁▇▂
BFIK_consc_2R	numeric	1	1	4	5	3.178571	1.3067792	▃▂▃▇▂
BFIK_consc_1	numeric	1	2	4	5	4.071429	0.8997354	▁▂▁▇▇

Scale: BFIK_extra

Overview

Reliability: ω_ordinal [95% CI] = 0.78 [0.64;0.91].

Missing: 0.

Reliability details

Reliability Indices

Index	Estimate
Omega	0.9023
Omega Psych Tot	0.9589
Omega Psych H	0.8395
Omega Ordinal	0.775
Cronbach Alpha	0.8993
Greatest Lower Bound	0.9581
Alpha Ordinal	0.7744

Positive correlations: 6 out of 6 (100%)

Scatter matrix

Detailed output

#> 
#> Information about this analysis:
#> 
#>                  Dataframe: res$dat
#>                      Items: BFIK_extra_2, BFIK_extra_3R, BFIK_extra_4, BFIK_extra_1R
#>               Observations: 28
#>      Positive correlations: 6 out of 6 (100%)
#> 
#> Estimates assuming interval level:
#> 
#>              Omega (total): 0.9
#>       Omega (hierarchical): 0.84
#>    Revelle's omega (total): 0.96
#> Greatest Lower Bound (GLB): 0.96
#>              Coefficient H: 0.93
#>           Cronbach's alpha: 0.9
#> Confidence intervals:
#>              Omega (total): [0.84, 0.96]
#>           Cronbach's alpha: [0.83, 0.96]
#> 
#> Estimates assuming ordinal level:
#> 
#>      Ordinal Omega (total): 0.78
#>  Ordinal Omega (hierarch.): 0.75
#>   Ordinal Cronbach's alpha: 0.77
#> Confidence intervals:
#>      Ordinal Omega (total): [0.64, 0.91]
#>   Ordinal Cronbach's alpha: [0.64, 0.91]
#> 
#> Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help ('?scaleStructure') for more information.
#> 
#> Eigen values: 3.077, 0.527, 0.297, 0.099
#> Loadings:
#>               PC1  
#> BFIK_extra_2  0.806
#> BFIK_extra_3R 0.883
#> BFIK_extra_4  0.908
#> BFIK_extra_1R 0.907
#> 
#>                  PC1
#> SS loadings    3.077
#> Proportion Var 0.769
#> 
#>               vars  n mean   sd median trimmed  mad min max range  skew
#> BFIK_extra_2     1 28 4.18 1.09      4    4.38 1.48   1   5     4 -1.66
#> BFIK_extra_3R    2 28 3.75 1.21      4    3.88 1.48   1   5     4 -0.76
#> BFIK_extra_4     3 28 3.86 1.11      4    3.96 1.48   1   5     4 -0.82
#> BFIK_extra_1R    4 28 3.61 1.20      4    3.67 1.48   1   5     4 -0.37
#>               kurtosis   se
#> BFIK_extra_2      2.40 0.21
#> BFIK_extra_3R    -0.35 0.23
#> BFIK_extra_4     -0.21 0.21
#> BFIK_extra_1R    -1.07 0.23

Summary statistics

name	data_type	complete_rate	min	median	max	mean	sd	hist
BFIK_extra_2	numeric	1	1	4	5	4.178571	1.090483	▁▁▁▇▇
BFIK_extra_3R	numeric	1	1	4	5	3.750000	1.205696	▂▂▅▇▇
BFIK_extra_4	numeric	1	1	4	5	3.857143	1.112697	▁▂▃▇▆
BFIK_extra_1R	numeric	1	1	4	5	3.607143	1.196888	▁▅▆▇▇

Scale: BFIK_neuro

Overview

Reliability: ω_ordinal [95% CI] = 0.66 [0.43;0.9].

Missing: 0.

Reliability details

Reliability Indices

Index	Estimate
Omega	0.8191
Omega Psych Tot	0.7954
Omega Psych H	0.03191
Omega Ordinal	0.665
Cronbach Alpha	0.7537
Greatest Lower Bound	0.8345
Alpha Ordinal	0.6023

Positive correlations: 3 out of 3 (100%)

Scatter matrix

Detailed output

#> 
#> Information about this analysis:
#> 
#>                  Dataframe: res$dat
#>                      Items: BFIK_neuro_2R, BFIK_neuro_3, BFIK_neuro_4
#>               Observations: 28
#>      Positive correlations: 3 out of 3 (100%)
#> 
#> Estimates assuming interval level:
#> 
#>              Omega (total): 0.82
#>       Omega (hierarchical): 0.03
#>    Revelle's omega (total): 0.8
#> Greatest Lower Bound (GLB): 0.83
#>              Coefficient H: 0.98
#>           Cronbach's alpha: 0.75
#> Confidence intervals:
#>              Omega (total): [0.71, 0.93]
#>           Cronbach's alpha: [0.58, 0.92]
#> 
#> Estimates assuming ordinal level:
#> 
#>      Ordinal Omega (total): 0.66
#>  Ordinal Omega (hierarch.): 0.64
#>   Ordinal Cronbach's alpha: 0.6
#> Confidence intervals:
#>      Ordinal Omega (total): [0.43, 0.9]
#>   Ordinal Cronbach's alpha: [0.34, 0.86]
#> 
#> Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help ('?scaleStructure') for more information.
#> 
#> Eigen values: 2.015, 0.723, 0.262
#> Loadings:
#>               PC1  
#> BFIK_neuro_2R 0.670
#> BFIK_neuro_3  0.863
#> BFIK_neuro_4  0.907
#> 
#>                  PC1
#> SS loadings    2.015
#> Proportion Var 0.672
#> 
#>               vars  n mean   sd median trimmed  mad min max range skew kurtosis
#> BFIK_neuro_2R    1 28 3.11 0.88      3    3.08 1.48   2   5     3 0.12    -1.14
#> BFIK_neuro_3     2 28 3.07 1.27      3    3.08 1.48   1   5     4 0.08    -1.14
#> BFIK_neuro_4     3 28 2.50 1.20      2    2.50 1.48   1   4     3 0.12    -1.60
#>                 se
#> BFIK_neuro_2R 0.17
#> BFIK_neuro_3  0.24
#> BFIK_neuro_4  0.23

Summary statistics

name	data_type	complete_rate	min	median	max	mean	sd	hist
BFIK_neuro_2R	numeric	1	2	3	5	3.107143	0.8751417	▆▇▁▇▁
BFIK_neuro_3	numeric	1	1	3	5	3.071429	1.2744954	▃▇▇▅▅
BFIK_neuro_4	numeric	1	1	2	4	2.500000	1.2018504	▆▇▁▂▇

age

Distribution

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
age	numeric	0	1	21	29.5	47	30.10714	5.404657	▅▇▃▁▁

abode

Where do you live?

Distribution

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace
abode	Where do you live?	character	0	1	1	0	14	14	0

Scale: normal

Overview

Reliability: ω_total [95% CI] = 0.83 [0.73;0.93].

Missing: 0.

Reliability details

Reliability Indices

Index	Estimate
Omega	0.8307
Omega Psych Tot	0.8679
Omega Psych H	0.7583
Cronbach Alpha	0.8194
Greatest Lower Bound	0.8506

Positive correlations: 6 out of 6 (100%)

Scatter matrix

Detailed output

#> 
#> Information about this analysis:
#> 
#>                  Dataframe: res$dat
#>                      Items: normal1, normal2, normal3, normal4
#>               Observations: 28
#>      Positive correlations: 6 out of 6 (100%)
#> 
#> Estimates assuming interval level:
#> 
#>              Omega (total): 0.83
#>       Omega (hierarchical): 0.76
#>    Revelle's omega (total): 0.87
#> Greatest Lower Bound (GLB): 0.85
#>              Coefficient H: 0.86
#>           Cronbach's alpha: 0.82
#> Confidence intervals:
#>              Omega (total): [0.73, 0.93]
#>           Cronbach's alpha: [0.71, 0.93]
#> 
#> (Estimates assuming ordinal level not computed, as at least one item seems to have more than 8 levels; the highest number of distinct levels is 28 and the highest range is 8.900447. This last number needs to be lower than 9 for the polychoric function to work. If this is unexpected, you may want to check for outliers.)
#> 
#> Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help ('?scaleStructure') for more information.
#> 
#> Eigen values: 2.63, 0.663, 0.423, 0.283
#> Loadings:
#>         PC1  
#> normal1 0.750
#> normal2 0.768
#> normal3 0.873
#> normal4 0.846
#> 
#>                  PC1
#> SS loadings    2.630
#> Proportion Var 0.658
#> 
#>         vars  n mean   sd median trimmed  mad   min  max range  skew kurtosis
#> normal1    1 28 0.36 1.27   0.29    0.32 1.11 -1.92 3.24  5.16  0.33    -0.47
#> normal2    2 28 0.21 1.79  -0.09    0.27 2.11 -3.20 3.05  6.25 -0.06    -1.19
#> normal3    3 28 0.17 1.52   0.15    0.21 2.10 -2.28 2.21  4.50 -0.19    -1.49
#> normal4    4 28 0.60 1.73   0.34    0.51 1.28 -2.92 4.70  7.62  0.56     0.06
#>           se
#> normal1 0.24
#> normal2 0.34
#> normal3 0.29
#> normal4 0.33

Summary statistics

name	data_type	complete_rate	min	median	max	mean	sd	hist
normal1	numeric	1	-1.915551	0.2937932	3.239972	0.3605367	1.265433	▃▆▇▂▂
normal2	numeric	1	-3.198539	-0.0940044	3.051473	0.2112647	1.793569	▃▇▇▆▇
normal3	numeric	1	-2.284455	0.1506437	2.214532	0.1730697	1.521785	▆▃▅▅▇
normal4	numeric	1	-2.916456	0.3431212	4.701908	0.5959737	1.728902	▂▆▇▃▂

uniq_id

Unique ID

Distribution

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace
uniq_id	Unique ID	character	0	1	28	0	1	2	0

Missingness report

Codebook table

JSON-LD metadata

The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.

{
  "name": "bfi",
  "datePublished": "2019-12-29",
  "description": "The dataset has N=28 rows and 37 columns.\n0 rows have no missing values on any column.\n\n\n## Table of variables\nThis table contains variable names, labels, their central tendencies and other attributes.\n\n|name          |label                           |data_type |scale_item_names                                          | n_missing| complete_rate| n_unique| empty|count |min                 |median              |max                 |       mean|        sd| whitespace|hist  |\n|:-------------|:-------------------------------|:---------|:---------------------------------------------------------|---------:|-------------:|--------:|-----:|:-----|:-------------------|:-------------------|:-------------------|----------:|---------:|----------:|:-----|\n|session       |NA                              |character |NA                                                        |         0|             1|       28|     0|NA    |64                  |NA                  |64                  |         NA|        NA|          0|NA    |\n|created       |user first opened survey        |POSIXct   |NA                                                        |         0|             1|       28|    NA|NA    |2016-07-08 09:54:16 |2016-07-08 12:47:07 |2016-11-02 21:19:50 |         NA|        NA|         NA|NA    |\n|modified      |user last edited survey         |POSIXct   |NA                                                        |         0|             1|       28|    NA|NA    |2016-07-08 09:55:43 |2016-07-08 14:23:22 |2016-11-02 21:21:53 |         NA|        NA|         NA|NA    |\n|ended         |user finished survey            |POSIXct   |NA                                                        |         0|             1|       28|    NA|NA    |2016-07-08 09:55:43 |2016-07-08 14:23:22 |2016-11-02 21:21:53 |         NA|        NA|         NA|NA    |\n|expired       |NA                              |logical   |NA                                                        |        28|             0|       NA|    NA|:     |NA                  |NA                  |NA                  |        NaN|        NA|         NA|NA    |\n|BFIK_open_2   |NA                              |numeric   |NA                                                        |         0|             1|       NA|    NA|NA    |2.000000            |4.0000000           |5.000000            |  4.2142857| 0.7382232|         NA|▁▁▁▇▅ |\n|BFIK_agree_4R |NA                              |numeric   |NA                                                        |         0|             1|       NA|    NA|NA    |1.000000            |3.0000000           |5.000000            |  2.9285714| 1.1841100|         NA|▂▇▃▅▂ |\n|BFIK_extra_2  |NA                              |numeric   |NA                                                        |         0|             1|       NA|    NA|NA    |1.000000            |4.0000000           |5.000000            |  4.1785714| 1.0904831|         NA|▁▁▁▇▇ |\n|BFIK_agree_1R |NA                              |numeric   |NA                                                        |         0|             1|       NA|    NA|NA    |2.000000            |3.0000000           |5.000000            |  3.0000000| 0.9428090|         NA|▇▅▁▆▁ |\n|BFIK_open_1   |NA                              |numeric   |NA                                                        |         0|             1|       NA|    NA|NA    |2.000000            |5.0000000           |5.000000            |  4.3928571| 0.8317445|         NA|▁▂▁▃▇ |\n|BFIK_neuro_2R |NA                              |numeric   |NA                                                        |         0|             1|       NA|    NA|NA    |2.000000            |3.0000000           |5.000000            |  3.1071429| 0.8751417|         NA|▆▇▁▇▁ |\n|BFIK_consc_3  |NA                              |numeric   |NA                                                        |         0|             1|       NA|    NA|NA    |1.000000            |4.0000000           |5.000000            |  3.5000000| 1.0363755|         NA|▁▂▅▇▂ |\n|BFIK_consc_4  |NA                              |numeric   |NA                                                        |         0|             1|       NA|    NA|NA    |2.000000            |4.0000000           |5.000000            |  3.8571429| 0.7559289|         NA|▁▃▁▇▂ |\n|BFIK_consc_2R |NA                              |numeric   |NA                                                        |         0|             1|       NA|    NA|NA    |1.000000            |4.0000000           |5.000000            |  3.1785714| 1.3067792|         NA|▃▂▃▇▂ |\n|BFIK_agree_3R |NA                              |numeric   |NA                                                        |         0|             1|       NA|    NA|NA    |1.000000            |3.0000000           |5.000000            |  3.0357143| 1.2904820|         NA|▂▇▃▇▃ |\n|BFIK_extra_3R |NA                              |numeric   |NA                                                        |         0|             1|       NA|    NA|NA    |1.000000            |4.0000000           |5.000000            |  3.7500000| 1.2056964|         NA|▂▂▅▇▇ |\n|BFIK_neuro_3  |NA                              |numeric   |NA                                                        |         0|             1|       NA|    NA|NA    |1.000000            |3.0000000           |5.000000            |  3.0714286| 1.2744954|         NA|▃▇▇▅▅ |\n|BFIK_neuro_4  |NA                              |numeric   |NA                                                        |         0|             1|       NA|    NA|NA    |1.000000            |2.0000000           |4.000000            |  2.5000000| 1.2018504|         NA|▆▇▁▂▇ |\n|BFIK_agree_2  |NA                              |numeric   |NA                                                        |         0|             1|       NA|    NA|NA    |1.000000            |4.0000000           |5.000000            |  3.5000000| 1.2619796|         NA|▂▅▅▇▆ |\n|BFIK_consc_1  |NA                              |numeric   |NA                                                        |         0|             1|       NA|    NA|NA    |2.000000            |4.0000000           |5.000000            |  4.0714286| 0.8997354|         NA|▁▂▁▇▇ |\n|BFIK_open_4   |NA                              |numeric   |NA                                                        |         0|             1|       NA|    NA|NA    |1.000000            |4.0000000           |5.000000            |  4.2142857| 0.9567361|         NA|▁▁▂▆▇ |\n|BFIK_extra_4  |NA                              |numeric   |NA                                                        |         0|             1|       NA|    NA|NA    |1.000000            |4.0000000           |5.000000            |  3.8571429| 1.1126973|         NA|▁▂▃▇▆ |\n|BFIK_extra_1R |NA                              |numeric   |NA                                                        |         0|             1|       NA|    NA|NA    |1.000000            |4.0000000           |5.000000            |  3.6071429| 1.1968875|         NA|▁▅▆▇▇ |\n|BFIK_open_3   |NA                              |numeric   |NA                                                        |         0|             1|       NA|    NA|NA    |2.000000            |4.5000000           |5.000000            |  4.2142857| 0.9567361|         NA|▁▂▁▅▇ |\n|BFIK_agree    |aggregate of 4 BFIK_agree items |numeric   |BFIK_agree_4R, BFIK_agree_1R, BFIK_agree_3R, BFIK_agree_2 |         0|             1|       NA|    NA|NA    |1.500000            |3.0000000           |4.750000            |  3.1160714| 0.9316506|         NA|▂▇▅▅▃ |\n|BFIK_open     |aggregate of 4 BFIK_open items  |numeric   |BFIK_open_2, BFIK_open_1, BFIK_open_4, BFIK_open_3        |         0|             1|       NA|    NA|NA    |3.000000            |4.2500000           |5.000000            |  4.2589286| 0.5630692|         NA|▂▃▁▇▇ |\n|BFIK_consc    |aggregate of 4 BFIK_consc items |numeric   |BFIK_consc_3, BFIK_consc_4, BFIK_consc_2R, BFIK_consc_1   |         0|             1|       NA|    NA|NA    |2.000000            |3.7500000           |5.000000            |  3.6517857| 0.7915622|         NA|▂▃▇▇▃ |\n|BFIK_extra    |aggregate of 4 BFIK_extra items |numeric   |BFIK_extra_2, BFIK_extra_3R, BFIK_extra_4, BFIK_extra_1R  |         0|             1|       NA|    NA|NA    |1.500000            |4.2500000           |5.000000            |  3.8482143| 1.0099947|         NA|▂▂▃▅▇ |\n|BFIK_neuro    |aggregate of 3 BFIK_neuro items |numeric   |BFIK_neuro_2R, BFIK_neuro_3, BFIK_neuro_4                 |         0|             1|       NA|    NA|NA    |1.333333            |2.8333333           |4.333333            |  2.8928571| 0.9254231|         NA|▅▇▇▆▇ |\n|age           |NA                              |numeric   |NA                                                        |         0|             1|       NA|    NA|NA    |21.000000           |29.5000000          |47.000000           | 30.1071429| 5.4046570|         NA|▅▇▃▁▁ |\n|abode         |Where do you live?              |character |NA                                                        |         0|             1|        1|     0|NA    |14                  |NA                  |14                  |         NA|        NA|          0|NA    |\n|normal1       |NA                              |numeric   |NA                                                        |         0|             1|       NA|    NA|NA    |-1.915551           |0.2937932           |3.239972            |  0.3605367| 1.2654332|         NA|▃▆▇▂▂ |\n|normal2       |NA                              |numeric   |NA                                                        |         0|             1|       NA|    NA|NA    |-3.198539           |-0.0940044          |3.051473            |  0.2112647| 1.7935687|         NA|▃▇▇▆▇ |\n|normal3       |NA                              |numeric   |NA                                                        |         0|             1|       NA|    NA|NA    |-2.284455           |0.1506437           |2.214532            |  0.1730697| 1.5217850|         NA|▆▃▅▅▇ |\n|normal4       |NA                              |numeric   |NA                                                        |         0|             1|       NA|    NA|NA    |-2.916456           |0.3431212           |4.701908            |  0.5959737| 1.7289019|         NA|▂▆▇▃▂ |\n|normal        |aggregate of 4 normal items     |numeric   |normal1, normal2, normal3, normal4                        |         0|             1|       NA|    NA|NA    |-1.982137           |0.2525323           |2.673286            |  0.3352112| 1.2811633|         NA|▂▇▅▃▃ |\n|uniq_id       |Unique ID                       |character |NA                                                        |         0|             1|       28|     0|NA    |1                   |NA                  |2                   |         NA|        NA|          0|NA    |\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.8.2).",
  "keywords": ["session", "created", "modified", "ended", "expired", "BFIK_open_2", "BFIK_agree_4R", "BFIK_extra_2", "BFIK_agree_1R", "BFIK_open_1", "BFIK_neuro_2R", "BFIK_consc_3", "BFIK_consc_4", "BFIK_consc_2R", "BFIK_agree_3R", "BFIK_extra_3R", "BFIK_neuro_3", "BFIK_neuro_4", "BFIK_agree_2", "BFIK_consc_1", "BFIK_open_4", "BFIK_extra_4", "BFIK_extra_1R", "BFIK_open_3", "BFIK_agree", "BFIK_open", "BFIK_consc", "BFIK_extra", "BFIK_neuro", "age", "abode", "normal1", "normal2", "normal3", "normal4", "normal", "uniq_id"],
  "@context": "http://schema.org/",
  "@type": "Dataset",
  "variableMeasured": [
    {
      "name": "session",
      "@type": "propertyValue"
    },
    {
      "name": "created",
      "description": "user first opened survey",
      "@type": "propertyValue"
    },
    {
      "name": "modified",
      "description": "user last edited survey",
      "@type": "propertyValue"
    },
    {
      "name": "ended",
      "description": "user finished survey",
      "@type": "propertyValue"
    },
    {
      "name": "expired",
      "@type": "propertyValue"
    },
    {
      "name": "BFIK_open_2",
      "@type": "propertyValue"
    },
    {
      "name": "BFIK_agree_4R",
      "@type": "propertyValue"
    },
    {
      "name": "BFIK_extra_2",
      "@type": "propertyValue"
    },
    {
      "name": "BFIK_agree_1R",
      "@type": "propertyValue"
    },
    {
      "name": "BFIK_open_1",
      "@type": "propertyValue"
    },
    {
      "name": "BFIK_neuro_2R",
      "@type": "propertyValue"
    },
    {
      "name": "BFIK_consc_3",
      "@type": "propertyValue"
    },
    {
      "name": "BFIK_consc_4",
      "@type": "propertyValue"
    },
    {
      "name": "BFIK_consc_2R",
      "@type": "propertyValue"
    },
    {
      "name": "BFIK_agree_3R",
      "@type": "propertyValue"
    },
    {
      "name": "BFIK_extra_3R",
      "@type": "propertyValue"
    },
    {
      "name": "BFIK_neuro_3",
      "@type": "propertyValue"
    },
    {
      "name": "BFIK_neuro_4",
      "@type": "propertyValue"
    },
    {
      "name": "BFIK_agree_2",
      "@type": "propertyValue"
    },
    {
      "name": "BFIK_consc_1",
      "@type": "propertyValue"
    },
    {
      "name": "BFIK_open_4",
      "@type": "propertyValue"
    },
    {
      "name": "BFIK_extra_4",
      "@type": "propertyValue"
    },
    {
      "name": "BFIK_extra_1R",
      "@type": "propertyValue"
    },
    {
      "name": "BFIK_open_3",
      "@type": "propertyValue"
    },
    {
      "name": "BFIK_agree",
      "description": "aggregate of 4 BFIK_agree items",
      "@type": "propertyValue"
    },
    {
      "name": "BFIK_open",
      "description": "aggregate of 4 BFIK_open items",
      "@type": "propertyValue"
    },
    {
      "name": "BFIK_consc",
      "description": "aggregate of 4 BFIK_consc items",
      "@type": "propertyValue"
    },
    {
      "name": "BFIK_extra",
      "description": "aggregate of 4 BFIK_extra items",
      "@type": "propertyValue"
    },
    {
      "name": "BFIK_neuro",
      "description": "aggregate of 3 BFIK_neuro items",
      "@type": "propertyValue"
    },
    {
      "name": "age",
      "@type": "propertyValue"
    },
    {
      "name": "abode",
      "description": "Where do you live?",
      "@type": "propertyValue"
    },
    {
      "name": "normal1",
      "@type": "propertyValue"
    },
    {
      "name": "normal2",
      "@type": "propertyValue"
    },
    {
      "name": "normal3",
      "@type": "propertyValue"
    },
    {
      "name": "normal4",
      "@type": "propertyValue"
    },
    {
      "name": "normal",
      "description": "aggregate of 4 normal items",
      "@type": "propertyValue"
    },
    {
      "name": "uniq_id",
      "description": "Unique ID",
      "@type": "propertyValue"
    }
  ]
}`

Codebook example formr

Ruben Arslan

2019-12-29

Metadata

Description

Survey overview

Variables

Scale: BFIK_agree

Overview

Reliability details

Reliability Indices

Scatter matrix

Summary statistics

Scale: BFIK_open

Overview

Reliability details

Summary statistics

Scale: BFIK_consc

Overview

Reliability details

Reliability Indices

Scatter matrix

Summary statistics

Scale: BFIK_extra

Overview

Reliability details

Reliability Indices

Scatter matrix

Summary statistics

Scale: BFIK_neuro

Overview

Reliability details

Reliability Indices

Scatter matrix

Summary statistics

age

Distribution

Summary statistics

abode

Distribution

Summary statistics

Scale: normal

Overview

Reliability details

Reliability Indices

Scatter matrix

Summary statistics

uniq_id

Distribution

Summary statistics

Missingness report

Codebook table